What is data structure

... A pointer is a variable that holds address (memory location) of another variable rather than actual value. Also, a pointer is a variable that points to or references a memory location in which data is stored. Each memory cell in the computer has an address that can be used to access that location. S ...

... A pointer is a variable that holds address (memory location) of another variable rather than actual value. Also, a pointer is a variable that points to or references a memory location in which data is stored. Each memory cell in the computer has an address that can be used to access that location. S ...

Stronger Lempel-Ziv Based Compressed Text Indexing | SpringerLink

... – Cardinality queries: operation count(P ) counts the number of occurrences of pattern P in T . – Locating queries: operation locate(P ) reports the starting positions of the occ occurrences of pattern P in T . With the huge amount of text data available nowadays, the full-text search problem plays ...

... – Cardinality queries: operation count(P ) counts the number of occurrences of pattern P in T . – Locating queries: operation locate(P ) reports the starting positions of the occ occurrences of pattern P in T . With the huge amount of text data available nowadays, the full-text search problem plays ...

Document

... Linked lists are special lists of some data elements linked to on another. The logical ordering is represented by having each element pointing to the next element. Each element is called node, which has two parts. The INFO part which stores the information and the POINTER part, which points to the n ...

... Linked lists are special lists of some data elements linked to on another. The logical ordering is represented by having each element pointing to the next element. Each element is called node, which has two parts. The INFO part which stores the information and the POINTER part, which points to the n ...

Arrays

... Line 20 creates another int array and initializes each element using an initializer list. In this case, the number of elements in the initializer list determines the array’s size. For example, line 20 creates a 10-element array with the indices 0–9 and the values 32, 27, 64, and so on. Note that thi ...

... Line 20 creates another int array and initializes each element using an initializer list. In this case, the number of elements in the initializer list determines the array’s size. For example, line 20 creates a 10-element array with the indices 0–9 and the values 32, 27, 64, and so on. Note that thi ...

Fast Local Searches and Updates in Bounded Universes

... node with no left (respectively right) child is augmented with an additional pointer to the smallest (respectively largest) leaf in its subtree, and all leaves maintain pointers to the next leaf and the previous leaf. The structure uses O(n log U ) space. Searches are executed by performing a binary ...

... node with no left (respectively right) child is augmented with an additional pointer to the smallest (respectively largest) leaf in its subtree, and all leaves maintain pointers to the next leaf and the previous leaf. The structure uses O(n log U ) space. Searches are executed by performing a binary ...

Implicit Data Structures, Sorting, and Text Indexing

... in Partial Fulfillment of the Requirements for the PhD Degree ...

... in Partial Fulfillment of the Requirements for the PhD Degree ...

Open Data Structures (in C++)

... There are plenty of books that teach introductory data structures. Some of them are very good. Most of them cost money, and the vast majority of computer science undergraduate students will shell out at least some cash on a data structures book. Several free data structures books are available onlin ...

... There are plenty of books that teach introductory data structures. Some of them are very good. Most of them cost money, and the vast majority of computer science undergraduate students will shell out at least some cash on a data structures book. Several free data structures books are available onlin ...

estructuras de datos sucintas para recuperación de

... using no index at all will reduce the extra space to zero but the time to answer the queries will be at best linear in the size of the data (for example, a sequential search over the visible Web would take months, while any decent search engine takes less than a second to answer). The challenge of i ...

... using no index at all will reduce the extra space to zero but the time to answer the queries will be at best linear in the size of the data (for example, a sequential search over the visible Web would take months, while any decent search engine takes less than a second to answer). The challenge of i ...

Data Structures and Algorithms for Data

... for awesome lunchtimes, and weekends spent skiing. I want to thank Dalibor Mucko for all the good times we had together. I only regret that I never witnessed the advances you could have made in CS with your intellect, had you chosen to follow that path – vii ...

... for awesome lunchtimes, and weekends spent skiing. I want to thank Dalibor Mucko for all the good times we had together. I only regret that I never witnessed the advances you could have made in CS with your intellect, had you chosen to follow that path – vii ...

Evaluating Data Structures for RuntimeStorage of Aspect Instances

... potentially many different places in the code, into separated modules called aspects. An aspect describes the behavioural effect1 of the crosscutting concern on the base program. In many cases the code that implements the functionality of the crosscutting concern needs to access state which is share ...

... potentially many different places in the code, into separated modules called aspects. An aspect describes the behavioural effect1 of the crosscutting concern on the base program. In many cases the code that implements the functionality of the crosscutting concern needs to access state which is share ...

Towards Optimal Range Medians - Department of Computer Science

... RMP naturally fits into a larger group of problems, in which an unsorted array is given, and for a query one wants to compute a certain function of all the elements in a given interval. Instead of the median, natural candidates for such a function are: – Sum: This problem can be trivially solved wit ...

... RMP naturally fits into a larger group of problems, in which an unsorted array is given, and for a query one wants to compute a certain function of all the elements in a given interval. Instead of the median, natural candidates for such a function are: – Sum: This problem can be trivially solved wit ...

Screen PDF - Open Data Structures

... There are plenty of books that teach introductory data structures. Some of them are very good. Most of them cost money, and the vast majority of computer science undergraduate students will shell out at least some cash on a data structures book. Several free data structures books are available onlin ...

... There are plenty of books that teach introductory data structures. Some of them are very good. Most of them cost money, and the vast majority of computer science undergraduate students will shell out at least some cash on a data structures book. Several free data structures books are available onlin ...

Fundamental Data Structures

... For example, a complete functional-style definition of a stack ADT could use the three operations: • push: takes a stack state and an arbitrary value, returns a stack state; • top: takes a stack state, returns a value; • pop: takes a stack state, returns a stack state; with the following axioms: • t ...

... For example, a complete functional-style definition of a stack ADT could use the three operations: • push: takes a stack state and an arbitrary value, returns a stack state; • top: takes a stack state, returns a value; • pop: takes a stack state, returns a stack state; with the following axioms: • t ...

Fundamental Data Structures - University of North Florida

... For example, a complete functional-style definition of a stack ADT could use the three operations: • push: takes a stack state and an arbitrary value, returns a stack state; • top: takes a stack state, returns a value; • pop: takes a stack state, returns a stack state; with the following axioms: • t ...

... For example, a complete functional-style definition of a stack ADT could use the three operations: • push: takes a stack state and an arbitrary value, returns a stack state; • top: takes a stack state, returns a value; • pop: takes a stack state, returns a stack state; with the following axioms: • t ...

KorthDB6_ch11

... ©Silberschatz, Korth and Sudarshan See www.db-book.com for conditions on re-use ...

... ©Silberschatz, Korth and Sudarshan See www.db-book.com for conditions on re-use ...

An Extensive Examination of Data Structures Using C# 2.0

... merge sort is O(n log2n). Asymptotically, merge sort is much more efficient than bubble sort, but for small arrays, bubble sort may be more efficient. Merge sort must not only incur the expense of recursive function calls, but also of recombining the sorted array halves, whereas bubble sort simply l ...

... merge sort is O(n log2n). Asymptotically, merge sort is much more efficient than bubble sort, but for small arrays, bubble sort may be more efficient. Merge sort must not only incur the expense of recursive function calls, but also of recombining the sorted array halves, whereas bubble sort simply l ...

Fundamental Data Structures

... Analysis of algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...

... Analysis of algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...

Towards Constant Bandwidth Overhead E.

... We present a trace-hash scheme and an adaptive tree-trace scheme to improve the performance of checking the integrity of arbitrarily-large untrusted data, when using only a small fixed-sized trusted state. Currently, hash trees are used to check the data. In many systems that use hash trees, program ...

... We present a trace-hash scheme and an adaptive tree-trace scheme to improve the performance of checking the integrity of arbitrarily-large untrusted data, when using only a small fixed-sized trusted state. Currently, hash trees are used to check the data. In many systems that use hash trees, program ...

# Bloom filter

A Bloom filter is a space-efficient probabilistic data structure, conceived by Burton Howard Bloom in 1970, that is used to test whether an element is a member of a set. False positive matches are possible, but false negatives are not, thus a Bloom filter has a 100% recall rate. In other words, a query returns either ""possibly in set"" or ""definitely not in set"". Elements can be added to the set, but not removed (though this can be addressed with a ""counting"" filter). The more elements that are added to the set, the larger the probability of false positives.Bloom proposed the technique for applications where the amount of source data would require an impractically large amount of memory if ""conventional"" error-free hashing techniques were applied. He gave the example of a hyphenation algorithm for a dictionary of 500,000 words, out of which 90% follow simple hyphenation rules, but the remaining 10% require expensive disk accesses to retrieve specific hyphenation patterns. With sufficient core memory, an error-free hash could be used to eliminate all unnecessary disk accesses; on the other hand, with limited core memory, Bloom's technique uses a smaller hash area but still eliminates most unnecessary accesses. For example, a hash area only 15% of the size needed by an ideal error-free hash still eliminates 85% of the disk accesses, an 85–15 form of the Pareto principle (Bloom (1970)).More generally, fewer than 10 bits per element are required for a 1% false positive probability, independent of the size or number of elements in the set (Bonomi et al. (2006)).